rail.pipelines.estimation.train_z_pipeline module
- class rail.pipelines.estimation.train_z_pipeline.TrainZPipeline
Bases:
RailPipeline- __init__()
Create a MiniRunner Pipeline
In addition to parent initialization parameters (see the Pipeline base class), this subclass can take these optional keywords.
- Parameters:
callback (function(event_type: str, event_info: dict)) – A function called when jobs launch, complete, or fail, and when the pipeline aborts. Can be used for tracing execution. Default=None.
sleep (function(t: float)) – A function to replace time.sleep called in the pipeline to wait until the next time to check process completion Most normal usage will not need this. Default=None.
- Return type:
None
- default_input_dict: dict[str, str] = {'input_test': 'dummy.in', 'input_train': 'dummy.in'}